Facebook and Twitter have proven to be our main commercial inspiration for the collaborative part of our hybrid system and Amazon for the content-based part.
 We chose these systems to model because, for one, they are popular, and for another, their approach to specific modules in our system seemed appropriate. These modules which we like to refer as Community and Profiler modules respectively are  thoroughly analysed in Chapter~\ref{ch3}.
 
 From all our research we came up with a few of our own ideas; these are:
 \begin{itemize}
 \item How closely-related two users' profiles are using our own devised algorithm.
\item The realisation of a bookmarklet, described in depth in Section~\ref{sec:bookmarklet}, to provide users with a swift way to log onto their profile, to provide additional feedback to the system by means of \emph{``liking"} Wikipedia articles, as well as accessing their recommendations randomly.

\end{itemize}